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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4643e65b6ea35e2606b338d0ea21854bc21603a8 | 3,020 | py | Python | djcommon/helpers.py | baskoopmans/djcommon | 0c373405985b6fa28e8d1fba74fd23ad23df7918 | [
"BSD-3-Clause"
] | 2 | 2019-03-19T05:47:40.000Z | 2019-04-21T12:15:57.000Z | djcommon/helpers.py | baskoopmans/djcommon | 0c373405985b6fa28e8d1fba74fd23ad23df7918 | [
"BSD-3-Clause"
] | null | null | null | djcommon/helpers.py | baskoopmans/djcommon | 0c373405985b6fa28e8d1fba74fd23ad23df7918 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
import sys
import re
import copy
import json
import random
from importlib import import_module
from decimal import Decimal
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
# for formatting Decimal objects
TWOPLACES = Decimal(10) ** -2
def c... | 29.038462 | 108 | 0.642384 |
800472d33f2b7470b2413eb8a4fdcc6365a551f1 | 5,978 | py | Python | wheat_detection/configs/faster_rcnn/faster_dilation.py | fengyouliang/wheat_detection | d056123426a1260c29b486cbb8e44a88a0a3c5bc | [
"Apache-2.0"
] | null | null | null | wheat_detection/configs/faster_rcnn/faster_dilation.py | fengyouliang/wheat_detection | d056123426a1260c29b486cbb8e44a88a0a3c5bc | [
"Apache-2.0"
] | null | null | null | wheat_detection/configs/faster_rcnn/faster_dilation.py | fengyouliang/wheat_detection | d056123426a1260c29b486cbb8e44a88a0a3c5bc | [
"Apache-2.0"
] | null | null | null | fp16 = dict(loss_scale=512.)
model = dict(
type='FasterRCNN',
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
dilations=(2, 2, 2, 2),
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type=... | 31.463158 | 98 | 0.556708 |
ffba4b03bfed13ae9b9031bbd7c20620c683b42c | 39,580 | py | Python | pypy/interpreter/test/test_argument.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | 1 | 2021-06-02T23:02:09.000Z | 2021-06-02T23:02:09.000Z | pypy/interpreter/test/test_argument.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | 1 | 2021-03-30T18:08:41.000Z | 2021-03-30T18:08:41.000Z | pypy/interpreter/test/test_argument.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | # -*- coding: utf-8 -*-
import py
import pytest
from pypy.interpreter.argument import (Arguments, ArgErr, ArgErrUnknownKwds,
ArgErrMultipleValues, ArgErrMissing, ArgErrTooMany, ArgErrTooManyMethod,
ArgErrPosonlyAsKwds)
from pypy.interpreter.signature import Signature
from pypy.interpreter.error import O... | 40.141988 | 169 | 0.537494 |
d02b913a2717ccb207fe58f2771c4f8c0680c4c5 | 893 | py | Python | src/data_wash.py | topologyYDM/dectree_QSO | 3008ad7eb8ac9ba13b7182cb063aa41af05818fe | [
"MIT"
] | 3 | 2019-03-05T14:02:21.000Z | 2019-03-30T02:13:40.000Z | src/data_wash.py | topologyYDM/dectree_QSO | 3008ad7eb8ac9ba13b7182cb063aa41af05818fe | [
"MIT"
] | 15 | 2019-03-25T02:17:50.000Z | 2019-04-12T03:41:29.000Z | src/data_wash.py | topologyYDM/dectree_QSO | 3008ad7eb8ac9ba13b7182cb063aa41af05818fe | [
"MIT"
] | 1 | 2019-03-03T08:13:12.000Z | 2019-03-03T08:13:12.000Z | # -*- coding: utf-8 -*-
import sys
import numpy as np
filename = sys.argv[1]
colors = ['r', 'i', 'u', 'z', 'g']
with open('./data/light_curve/' + filename) as f:
lines = f.readlines()
atbss = []
atbs_r = []
atbs_i = []
atbs_u = []
atbs_z = []
atbs_g = []
atbss.append(atbs_r)
atbss.append(atbs_i)
atbss.... | 15.135593 | 61 | 0.578947 |
b4f3a5541c00e8b284013b5335700d9588d8e985 | 4,156 | py | Python | phuber/network.py | dmizr/phuber | 3b70eadd9bd1420047ada743ff5604eda48d63ac | [
"MIT"
] | 12 | 2020-12-17T14:54:03.000Z | 2021-12-13T21:30:13.000Z | phuber/network.py | dmizr/phuber | 3b70eadd9bd1420047ada743ff5604eda48d63ac | [
"MIT"
] | 5 | 2020-12-30T21:18:05.000Z | 2021-04-16T21:27:35.000Z | phuber/network.py | dmizr/phuber | 3b70eadd9bd1420047ada743ff5604eda48d63ac | [
"MIT"
] | 7 | 2021-04-15T02:13:26.000Z | 2021-12-01T21:20:59.000Z | from typing import Any, Callable, List, Optional, Type, Union
import torch
import torch.nn as nn
import torchvision
from torchvision.models.resnet import BasicBlock, Bottleneck
from phuber.utils import truncated_normal
class LeNet(nn.Module):
"""LeNet-5 from `"Gradient-Based Learning Applied To Document Recogni... | 36.13913 | 88 | 0.637392 |
0b4adb3fcb4db6aa0ef40651928c16aa0ead3898 | 1,142 | py | Python | test/make_test_suite_json.py | tzlaine/yaml | 958716b79697d4501f57d10eca8d3024047f5e2d | [
"BSL-1.0"
] | null | null | null | test/make_test_suite_json.py | tzlaine/yaml | 958716b79697d4501f57d10eca8d3024047f5e2d | [
"BSL-1.0"
] | 2 | 2019-10-31T02:01:21.000Z | 2019-10-31T02:13:51.000Z | test/make_test_suite_json.py | tzlaine/yaml | 958716b79697d4501f57d10eca8d3024047f5e2d | [
"BSL-1.0"
] | null | null | null | #!/usr/bin/env python
import argparse
import os
import shutil
import sys
parser = argparse.ArgumentParser(description='Create an index of the .json test files from JSONTestSuite.')
parser.add_argument('--json-test-suite-path', '-y', type=str, required=True,
help='the path to JSONTestSuite')
parse... | 38.066667 | 107 | 0.707531 |
b6f0eabc8f665c3e230038934f1b11c9a2a45ed6 | 11,251 | py | Python | Code/src/models/optim/DSAD_trainer.py | antoine-spahr/X-ray-Anomaly-Detection | 850b6195d6290a50eee865b4d5a66f5db5260e8f | [
"MIT"
] | 2 | 2020-10-12T08:25:13.000Z | 2021-08-16T08:43:43.000Z | Code/src/models/optim/DSAD_trainer.py | antoine-spahr/X-ray-Anomaly-Detection | 850b6195d6290a50eee865b4d5a66f5db5260e8f | [
"MIT"
] | null | null | null | Code/src/models/optim/DSAD_trainer.py | antoine-spahr/X-ray-Anomaly-Detection | 850b6195d6290a50eee865b4d5a66f5db5260e8f | [
"MIT"
] | 1 | 2020-06-17T07:40:17.000Z | 2020-06-17T07:40:17.000Z | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import time
import logging
from sklearn.metrics import roc_auc_score
from sklearn.manifold import TSNE
from src.models.optim.CustomLosses import DeepSADLoss
from src.utils.utils import print_progessbar
class DSAD_trainer:
"""
Tr... | 39.202091 | 114 | 0.552218 |
3b519040719ec0654c62e6fdba9805c035ca15e6 | 3,733 | py | Python | floodsystem/datafetcher.py | PamposhMam/silver-pancakce | bf67429289ece1c710f32f8f21d691867c8d0a7b | [
"MIT"
] | null | null | null | floodsystem/datafetcher.py | PamposhMam/silver-pancakce | bf67429289ece1c710f32f8f21d691867c8d0a7b | [
"MIT"
] | null | null | null | floodsystem/datafetcher.py | PamposhMam/silver-pancakce | bf67429289ece1c710f32f8f21d691867c8d0a7b | [
"MIT"
] | null | null | null | # Copyright (C) 2018 Garth N. Wells
#
# SPDX-License-Identifier: MIT
"""This module provides functionality for retrieving real-time and
latest time history level data
"""
import datetime
import json
import os
import dateutil.parser
import requests
def fetch(url):
"""Fetch data from url and return fetched JSON ... | 25.744828 | 136 | 0.643182 |
e09baca08a9e032a8d6795ee8e247fce9c0e35af | 32,520 | py | Python | VideoShow.py | leavin296/fresheng | 617ededc456e765e42c711336e23eb0931466163 | [
"MIT"
] | null | null | null | VideoShow.py | leavin296/fresheng | 617ededc456e765e42c711336e23eb0931466163 | [
"MIT"
] | null | null | null | VideoShow.py | leavin296/fresheng | 617ededc456e765e42c711336e23eb0931466163 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'VideoShow.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QDir, QUrl, Qt, QThread, QSizeF, QSize, QRectF
from PyQ... | 42.621232 | 122 | 0.627706 |
ff964278948e0e40221aa349538a8b6cacc0b451 | 10,100 | py | Python | selfdrive/controls/lib/driver_monitor.py | symuhammad/openpilot | 96072fe69bc10f6ac5a92e2353e1ca0e649694dc | [
"MIT"
] | 8 | 2020-02-15T09:20:58.000Z | 2020-08-26T11:06:06.000Z | selfdrive/controls/lib/driver_monitor.py | symuhammad/openpilot | 96072fe69bc10f6ac5a92e2353e1ca0e649694dc | [
"MIT"
] | null | null | null | selfdrive/controls/lib/driver_monitor.py | symuhammad/openpilot | 96072fe69bc10f6ac5a92e2353e1ca0e649694dc | [
"MIT"
] | 35 | 2019-09-30T15:35:06.000Z | 2020-09-27T06:51:12.000Z | import numpy as np
from common.realtime import DT_CTRL, DT_DMON
from selfdrive.controls.lib.drive_helpers import create_event, EventTypes as ET
from common.filter_simple import FirstOrderFilter
from common.stat_live import RunningStatFilter
_AWARENESS_TIME = 300. # 1.6 minutes limit without user touching steering whe... | 43.347639 | 154 | 0.742475 |
9b7f2ff43eadaa853a717e8df904e5db85bd06db | 18 | py | Python | virtbs/__init__.py | afazekas/speedling | bd9d93ef16f3d702f146812fb6e8fef51426a378 | [
"Apache-2.0"
] | 1 | 2019-04-10T18:20:09.000Z | 2019-04-10T18:20:09.000Z | virtbs/__init__.py | afazekas/speedling | bd9d93ef16f3d702f146812fb6e8fef51426a378 | [
"Apache-2.0"
] | 1 | 2019-07-12T12:08:19.000Z | 2019-07-12T12:08:19.000Z | virtbs/__init__.py | afazekas/speedling | bd9d93ef16f3d702f146812fb6e8fef51426a378 | [
"Apache-2.0"
] | 1 | 2019-02-26T16:37:10.000Z | 2019-02-26T16:37:10.000Z | # Not package yet
| 9 | 17 | 0.722222 |
60e419418114e3162868c60069a5c30527b6d81e | 2,559 | py | Python | jupyterlab_widgets/setup.py | casperdcl/ipywidgets | f27cdc6dcdb838174f8280cd27c1c1013cadb0e7 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab_widgets/setup.py | casperdcl/ipywidgets | f27cdc6dcdb838174f8280cd27c1c1013cadb0e7 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab_widgets/setup.py | casperdcl/ipywidgets | f27cdc6dcdb838174f8280cd27c1c1013cadb0e7 | [
"BSD-3-Clause"
] | null | null | null | """
jupyterlab_widgets setup
"""
import os
from jupyter_packaging import (
create_cmdclass, install_npm, ensure_targets,
combine_commands, ensure_python, get_version,
skip_if_exists
)
import setuptools
HERE = os.path.abspath(os.path.dirname(__file__))
# The name of the project
name = "jupyterlab_widgets"... | 26.112245 | 78 | 0.687378 |
262672fb2b6b8df99067578c99cdba141e07a38d | 6,506 | py | Python | CrySPY/EA/ea_append.py | ruoitrau86/CrySPY | 84cc0c663a6ecc73ff89d0d2893424ecf3faae50 | [
"MIT"
] | null | null | null | CrySPY/EA/ea_append.py | ruoitrau86/CrySPY | 84cc0c663a6ecc73ff89d0d2893424ecf3faae50 | [
"MIT"
] | null | null | null | CrySPY/EA/ea_append.py | ruoitrau86/CrySPY | 84cc0c663a6ecc73ff89d0d2893424ecf3faae50 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import ConfigParser
import os
import pandas as pd
from .. import utility
from ..gen_struc.EA.select_parents import Select_parents
from ..gen_struc.EA.crossover import Crossover
from ..gen_struc.EA.permutation import Permutation
from... | 43.373333 | 119 | 0.601752 |
65a069438b85cb2b0b130e8c8947b706aac5f4dc | 424 | py | Python | python/algorithms/binary_search.py | minhajul/learning | 7fdccee7ff7624e69ba3198531be90f448b77837 | [
"MIT"
] | 1 | 2018-06-09T08:47:13.000Z | 2018-06-09T08:47:13.000Z | python/algorithms/binary_search.py | minhajul/learning | 7fdccee7ff7624e69ba3198531be90f448b77837 | [
"MIT"
] | 12 | 2018-06-08T20:02:43.000Z | 2018-09-25T17:16:05.000Z | python/algorithms/binary_search.py | minhajul/learning | 7fdccee7ff7624e69ba3198531be90f448b77837 | [
"MIT"
] | null | null | null | def binary_search(list_items, x):
left = list_items[0]
right = len(list_items) - 1
while left <= right:
mid = round((left + right) / 2)
if x == list_items[mid]:
return mid
if x > list_items[mid]:
left = mid + 1
if x < list_items[mid]:
ri... | 20.190476 | 58 | 0.509434 |
c90dc36e66fee3dcb300a00430345871b4dd01fa | 2,688 | py | Python | hello/views.py | 1tjcaron/learnmath | 311229e518bc52d834b30a961803c5fdc7851568 | [
"MIT"
] | null | null | null | hello/views.py | 1tjcaron/learnmath | 311229e518bc52d834b30a961803c5fdc7851568 | [
"MIT"
] | null | null | null | hello/views.py | 1tjcaron/learnmath | 311229e518bc52d834b30a961803c5fdc7851568 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.shortcuts import render
def hello(request):
return render(request, 'hello.html', {"status1": "Unstarted"})
def hi2(request):
return render(request, 'hello.html', {"status1": "Done"})
import datetime
from django.shortcuts import render, get_object_or_404
from ... | 32.385542 | 127 | 0.651786 |
04922411299b7200f2711b08256924151e3c9d00 | 6,669 | py | Python | src/ircthread.py | fallingknife/electrum-uno-server | ecae2ea51a00806269f080546c42db9452ef34b5 | [
"MIT"
] | null | null | null | src/ircthread.py | fallingknife/electrum-uno-server | ecae2ea51a00806269f080546c42db9452ef34b5 | [
"MIT"
] | null | null | null | src/ircthread.py | fallingknife/electrum-uno-server | ecae2ea51a00806269f080546c42db9452ef34b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright(C) 2011-2016 Thomas Voegtlin
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, m... | 37.256983 | 147 | 0.624232 |
903b4b6357e887c9e3bc4d8b4d3f00f158204858 | 1,714 | py | Python | components/gpio_control/GPIODevices/led.py | drocx/RPi-Jukebox-RFID | 1e211c2f4571a86d97747fe9094a34931de8b7c1 | [
"MIT"
] | null | null | null | components/gpio_control/GPIODevices/led.py | drocx/RPi-Jukebox-RFID | 1e211c2f4571a86d97747fe9094a34931de8b7c1 | [
"MIT"
] | null | null | null | components/gpio_control/GPIODevices/led.py | drocx/RPi-Jukebox-RFID | 1e211c2f4571a86d97747fe9094a34931de8b7c1 | [
"MIT"
] | 1 | 2019-10-06T16:33:52.000Z | 2019-10-06T16:33:52.000Z | import logging
import time
import mpd
from RPi import GPIO
GPIO.setmode(GPIO.BCM)
logger = logging.getLogger(__name__)
class LED:
def __init__(self, pin, initial_value=True, name='LED'):
self.pin = pin
self.name=name
logger.debug('initialize {}(pin={}) to off'.format(self.name, self.pi... | 29.050847 | 106 | 0.616103 |
43184a88cc4cdcaccfdde3323f6cb86579a5b114 | 21,044 | py | Python | designate/central/rpcapi.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 145 | 2015-01-02T09:35:53.000Z | 2021-12-14T17:03:53.000Z | designate/central/rpcapi.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 6 | 2015-03-15T00:22:27.000Z | 2019-12-16T09:37:38.000Z | designate/central/rpcapi.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 109 | 2015-01-13T16:47:34.000Z | 2021-03-15T13:18:48.000Z | # Copyright 2013 Hewlett-Packard Development Company, L.P.
#
# Author: Kiall Mac Innes <kiall@hpe.com>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/... | 42.85947 | 79 | 0.636096 |
2315ddaaa6c246368e901870ef40f87018c0d644 | 7,605 | py | Python | models/nn/convnet.py | gdikov/MNIST_Challenge | 56834aeeaeefc440cb1d9882c95b73b84fe20edf | [
"MIT"
] | 1 | 2017-02-15T12:19:46.000Z | 2017-02-15T12:19:46.000Z | models/nn/convnet.py | gdikov/MNIST-challenge | 56834aeeaeefc440cb1d9882c95b73b84fe20edf | [
"MIT"
] | 1 | 2017-02-07T12:51:17.000Z | 2017-02-07T12:51:17.000Z | models/nn/convnet.py | gdikov/MNIST_Challenge | 56834aeeaeefc440cb1d9882c95b73b84fe20edf | [
"MIT"
] | 1 | 2019-01-22T17:06:03.000Z | 2019-01-22T17:06:03.000Z | from models.model import AbstractModel
from models.nn.layers import *
from numerics.softmax import softmax
import config as cfg
import os
import cPickle
import numpy as np
# from utils.vizualiser import plot_filters
class ConvolutionalNeuralNetwork(AbstractModel):
def __init__(self, convolution_mode='scipy'):
... | 40.238095 | 119 | 0.620644 |
37af50eba96b794ed6534cb2f8db62996566cf05 | 1,241 | py | Python | algospot/lec9_DP/[cutz]blockgame.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | 3 | 2019-11-26T14:31:01.000Z | 2020-01-10T18:19:46.000Z | algospot/lec9_DP/[cutz]blockgame.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | null | null | null | algospot/lec9_DP/[cutz]blockgame.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | null | null | null | import sys
move = []
def cell(y, x):
return 1 << (y*5 + x)
def precalc():
for y in range(4):
for x in range(4):
cells = []
for dy in range(2):
for dx in range(2):
cells.append(cell(y+dy, x+dx))
squa... | 22.563636 | 62 | 0.438356 |
ee11e06723f1648a5717bda7666d7446edee7f89 | 328 | py | Python | Python Tutorial Beginner/16_Read_file.py | PaulPan00/donkey_wrapper | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | 6 | 2021-03-26T01:42:31.000Z | 2021-04-11T16:17:42.000Z | Python Tutorial Beginner/16_Read_file.py | packetsss/Python | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | null | null | null | Python Tutorial Beginner/16_Read_file.py | packetsss/Python | a03cf0f42f65625fbce792b06c98acd153c5d6c8 | [
"MIT"
] | 7 | 2021-04-06T06:55:22.000Z | 2021-05-03T11:26:38.000Z | # Create by Packetsss
# Personal use is allowed
# Commercial use is prohibited
file = open("Ex.txt", "r")
# print(file.readable())
# print(file.read())
print(file.readlines()[0])
# for employee in file.readlines():
# print(employee)
file.close()
file = open("Ex2.txt", "w")
file.write("\nWhy am I sad?")
file.... | 15.619048 | 35 | 0.658537 |
3d77336188d792ba2f715e760aebf2476fdcca02 | 270 | py | Python | tests/test_crv/crv_test_main.py | jonpovey/cocotb-coverage | 8a8826a68af261a4195f9c315a59d8eb913bb24e | [
"BSD-2-Clause"
] | 70 | 2018-11-28T12:06:18.000Z | 2022-02-23T20:36:12.000Z | tests/test_crv/crv_test_main.py | jonpovey/cocotb-coverage | 8a8826a68af261a4195f9c315a59d8eb913bb24e | [
"BSD-2-Clause"
] | 58 | 2018-12-19T12:08:53.000Z | 2022-01-27T07:45:36.000Z | tests/test_crv/crv_test_main.py | jonpovey/cocotb-coverage | 8a8826a68af261a4195f9c315a59d8eb913bb24e | [
"BSD-2-Clause"
] | 16 | 2018-12-26T22:59:48.000Z | 2022-03-21T06:21:47.000Z |
import cocotb
import pytest
import crv_test
from cocotb.triggers import Timer
from cocotb.result import TestFailure
@cocotb.test()
def test_crv(dut):
exitcode = pytest.main()
if exitcode != pytest.ExitCode.OK:
raise TestFailure()
yield Timer(1000)
| 19.285714 | 38 | 0.733333 |
4535fac78da8dbf8a5d0934e7f0b901c40b6e12c | 7,119 | py | Python | ogr/factory.py | pawelkopka/ogr | a88e9bbc76fe1476477165de496ab458e310d5ee | [
"MIT"
] | null | null | null | ogr/factory.py | pawelkopka/ogr | a88e9bbc76fe1476477165de496ab458e310d5ee | [
"MIT"
] | 5 | 2021-04-08T22:01:19.000Z | 2022-02-10T12:21:29.000Z | ogr/factory.py | pawelkopka/ogr | a88e9bbc76fe1476477165de496ab458e310d5ee | [
"MIT"
] | 1 | 2020-01-25T14:40:32.000Z | 2020-01-25T14:40:32.000Z | # MIT License
#
# Copyright (c) 2018-2019 Red Hat, Inc.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, m... | 35.068966 | 100 | 0.674673 |
5f60e20d2a72125ff2323de58f084a5c48b99486 | 37,083 | py | Python | run_classifier.py | cospplay/bert-master | 433923003ebfb60193ff5f9f81e4d96ad3d83f1b | [
"Apache-2.0"
] | 5 | 2021-04-16T01:44:49.000Z | 2022-01-11T01:10:17.000Z | run_classifier.py | cospplay/bert-master | 433923003ebfb60193ff5f9f81e4d96ad3d83f1b | [
"Apache-2.0"
] | null | null | null | run_classifier.py | cospplay/bert-master | 433923003ebfb60193ff5f9f81e4d96ad3d83f1b | [
"Apache-2.0"
] | 2 | 2021-05-13T07:35:33.000Z | 2022-01-06T06:27:30.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 35.486124 | 94 | 0.678775 |
9b9d3d5b3fe80247642d962edd6fb787537d01d6 | 102 | py | Python | mmseg/models/necks/__init__.py | HeqingZhang/mmsegmentation | 90d8038e909be9f2154b49d15f95a648ceb75120 | [
"Apache-2.0"
] | 367 | 2022-01-14T03:32:25.000Z | 2022-03-31T04:48:20.000Z | mmseg/models/necks/__init__.py | HeqingZhang/mmsegmentation | 90d8038e909be9f2154b49d15f95a648ceb75120 | [
"Apache-2.0"
] | 27 | 2022-01-27T07:12:49.000Z | 2022-03-31T04:31:13.000Z | mmseg/models/necks/__init__.py | HeqingZhang/mmsegmentation | 90d8038e909be9f2154b49d15f95a648ceb75120 | [
"Apache-2.0"
] | 53 | 2022-01-18T11:21:43.000Z | 2022-03-31T06:42:41.000Z | from .fpn import FPN
from .multilevel_neck import MultiLevelNeck
__all__ = ['FPN', 'MultiLevelNeck']
| 20.4 | 43 | 0.77451 |
5a71707e864e946c3a98706efc7d211f16a86868 | 4,673 | py | Python | lib/python2.7/site-packages/appionlib/apTomoFullRecon.py | leschzinerlab/myami-3.2-freeHand | 974b8a48245222de0d9cfb0f433533487ecce60d | [
"MIT"
] | null | null | null | lib/python2.7/site-packages/appionlib/apTomoFullRecon.py | leschzinerlab/myami-3.2-freeHand | 974b8a48245222de0d9cfb0f433533487ecce60d | [
"MIT"
] | null | null | null | lib/python2.7/site-packages/appionlib/apTomoFullRecon.py | leschzinerlab/myami-3.2-freeHand | 974b8a48245222de0d9cfb0f433533487ecce60d | [
"MIT"
] | 1 | 2019-09-05T20:58:37.000Z | 2019-09-05T20:58:37.000Z | #!/usr/bin/env python
import os
import shutil
import subprocess
#appion
from appionlib import apTomoMakerBase
from appionlib import apImod
from appionlib import apTomo
from appionlib import apParam
from appionlib import apDisplay
#=====================
#=====================
class ImodMaker(apTomoMakerBase.TomoMaker)... | 41.723214 | 281 | 0.71453 |
661f41153f5f22bb6be87ca3f946d5174fe13ef1 | 1,707 | py | Python | forecast_dataset_to_stories.py | Cyntwikip/PreSumm | 9abb00ca9910e210fe786c5a2805821a81ceca73 | [
"MIT"
] | null | null | null | forecast_dataset_to_stories.py | Cyntwikip/PreSumm | 9abb00ca9910e210fe786c5a2805821a81ceca73 | [
"MIT"
] | null | null | null | forecast_dataset_to_stories.py | Cyntwikip/PreSumm | 9abb00ca9910e210fe786c5a2805821a81ceca73 | [
"MIT"
] | null | null | null | import pandas as pd
import re, os
import click
from tqdm import tqdm
def split_lines(text):
text = [' '.join(i.split()) for i in re.split(r'\n{2,}', text)]
text = [i for i in text if i]
return text
def preprocess(file, forecast_folder):
# file = '~/notebooks/Cognitive_Search/sash/data/feb_20/ulm_forec... | 31.611111 | 104 | 0.632689 |
2f73df2075b6c7be91ff7129344df378a4379f5f | 154,425 | py | Python | Tests/test_number.py | Xen0byte/ironpython3 | 2e5bb6025d01ab52ea4bfbaf6fd7e0fec8ec0194 | [
"Apache-2.0"
] | null | null | null | Tests/test_number.py | Xen0byte/ironpython3 | 2e5bb6025d01ab52ea4bfbaf6fd7e0fec8ec0194 | [
"Apache-2.0"
] | null | null | null | Tests/test_number.py | Xen0byte/ironpython3 | 2e5bb6025d01ab52ea4bfbaf6fd7e0fec8ec0194 | [
"Apache-2.0"
] | null | null | null | # Licensed to the .NET Foundation under one or more agreements.
# The .NET Foundation licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information.
import sys
import unittest
from iptest import IronPythonTestCase, is_cli, big, run_test, skipUnlessIronPython
... | 75.921829 | 138 | 0.693411 |
b5d0ac4da90d385c057aaa53edd5e7f498390331 | 470 | py | Python | app/request.py | aleki21/blogip | 3a5e71b4b91dad3e0967d11b07a7cbfad26b664d | [
"MIT"
] | null | null | null | app/request.py | aleki21/blogip | 3a5e71b4b91dad3e0967d11b07a7cbfad26b664d | [
"MIT"
] | null | null | null | app/request.py | aleki21/blogip | 3a5e71b4b91dad3e0967d11b07a7cbfad26b664d | [
"MIT"
] | null | null | null | import urllib.request, json
QUOTE_API = 'http://quotes.stormconsultancy.co.uk/random.json'
def get_quotes():
with urllib.request.urlopen(QUOTE_API) as url:
get_quotes_data = url.read()
get_quotes_response = json.loads(get_quotes_data)
quotes_dict = {}
if get_quotes_response:
... | 27.647059 | 66 | 0.678723 |
b5556d62c40085a5b7a12340e5d54f5ba47d0044 | 5,764 | py | Python | VL-T5/src/adapters/adapter_modeling.py | ylsung/VL_adapter | 287409f383f89a11764fc45806864693a4d3e498 | [
"MIT"
] | 41 | 2021-12-14T02:50:16.000Z | 2022-03-30T07:41:19.000Z | VL-T5/src/adapters/adapter_modeling.py | ylsung/VL_adapter | 287409f383f89a11764fc45806864693a4d3e498 | [
"MIT"
] | 1 | 2022-01-07T03:31:47.000Z | 2022-03-25T00:31:53.000Z | VL-T5/src/adapters/adapter_modeling.py | ylsung/VL_adapter | 287409f383f89a11764fc45806864693a4d3e498 | [
"MIT"
] | 2 | 2021-12-14T03:10:18.000Z | 2022-03-29T04:59:23.000Z | """Implements an Adapter, Low-rank adapters and Hyper-adapter Layers."""
import torch.nn as nn
from .adapter_utils import Activations
from .hypercomplex.layers import PHMLinear
from .low_rank_layer import LowRankLinear
class LowRankAdapter(nn.Module):
"""This is the low-rank adapter, in which each adapter is com... | 43.666667 | 96 | 0.577897 |
6166049db9647174a1e85de9003d454bfd4c1928 | 964 | py | Python | envs/setup.py | a-akram/ctd2022 | 70b59c90e060b9f40f12754e596617154a3230d9 | [
"MIT"
] | null | null | null | envs/setup.py | a-akram/ctd2022 | 70b59c90e060b9f40f12754e596617154a3230d9 | [
"MIT"
] | null | null | null | envs/setup.py | a-akram/ctd2022 | 70b59c90e060b9f40f12754e596617154a3230d9 | [
"MIT"
] | null | null | null | import os
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
dependencies = [
"decorator",
"memory_profiler",
"traintrack",
"trackml@ https://github.com/LAL/trackml-library/tarball/master#egg=trackml-3",
]
setup(
n... | 26.777778 | 104 | 0.655602 |
bf017e44f410febdc897a4de0a2d6f095643a3aa | 34,055 | py | Python | tests/unit/test_fileio.py | cojenco/python-storage | 79b669bbede1cd4f06f1d697b71c7f9f2442fb80 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_fileio.py | cojenco/python-storage | 79b669bbede1cd4f06f1d697b71c7f9f2442fb80 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_fileio.py | cojenco/python-storage | 79b669bbede1cd4f06f1d697b71c7f9f2442fb80 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 37.713178 | 141 | 0.652386 |
c4936bc25fb30510e7bbab77dcf691f008e5c954 | 1,666 | py | Python | pachong.py | yetote/PythonTest | 2b987f706c7d8cc7e94003051801c652cec5318a | [
"Apache-2.0"
] | null | null | null | pachong.py | yetote/PythonTest | 2b987f706c7d8cc7e94003051801c652cec5318a | [
"Apache-2.0"
] | null | null | null | pachong.py | yetote/PythonTest | 2b987f706c7d8cc7e94003051801c652cec5318a | [
"Apache-2.0"
] | null | null | null | import re
import requests
from lxml import etree
def urlChange(url, page_num):
page_group = []
page_group.append('http://www.bytravel.cn/view/index109_list.html')
now_page = int(re.search(('_list(\d+)'), url, re.S).group(1))
for i in range(now_page, page_num):
link = re.sub('_list\d+... | 29.75 | 75 | 0.57443 |
3a2aacabd19f36ed56fdb6919b3782719b52b8b5 | 1,980 | py | Python | pychron/data_mapper/import_spec.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 31 | 2016-03-07T02:38:17.000Z | 2022-02-14T18:23:43.000Z | pychron/data_mapper/import_spec.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 1,626 | 2015-01-07T04:52:35.000Z | 2022-03-25T19:15:59.000Z | pychron/data_mapper/import_spec.py | UIllinoisHALPychron/pychron | f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc | [
"Apache-2.0"
] | 26 | 2015-05-23T00:10:06.000Z | 2022-03-07T16:51:57.000Z | # ===============================================================================
# Copyright 2016 Jake Ross
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses... | 20 | 81 | 0.554545 |
463fcd408b18bb0854968967d1abef9f0eef049e | 3,280 | py | Python | examples/examples.py | DisruptiveLabs/balanced-python | dbabd8a1c8cd0728d322f6f1caa08891d590e0a1 | [
"MIT"
] | 12 | 2015-04-12T06:18:33.000Z | 2021-03-03T23:54:19.000Z | examples/examples.py | DisruptiveLabs/balanced-python | dbabd8a1c8cd0728d322f6f1caa08891d590e0a1 | [
"MIT"
] | 1 | 2021-11-24T20:10:19.000Z | 2021-11-24T20:10:19.000Z | examples/examples.py | DisruptiveLabs/balanced-python | dbabd8a1c8cd0728d322f6f1caa08891d590e0a1 | [
"MIT"
] | 14 | 2015-03-23T17:52:06.000Z | 2021-11-24T11:04:15.000Z | from __future__ import unicode_literals
import balanced
print "create our new api key"
api_key = balanced.APIKey().save()
print "Our secret is: ", api_key.secret
print "configure with our secret " + api_key.secret
balanced.configure(api_key.secret)
print "create our marketplace"
marketplace = balanced.Marketplace(... | 29.285714 | 79 | 0.730793 |
33e967c1c6370852d0c96bbc10e853bc8d73ba0e | 536 | py | Python | users/urls.py | Celoka/flight_booking_system | 17d0fb0f4cf4b039cc05d814e881b5f31366c538 | [
"MIT"
] | 3 | 2019-03-15T00:25:04.000Z | 2019-04-12T14:06:01.000Z | users/urls.py | Celoka/flight_booking_system | 17d0fb0f4cf4b039cc05d814e881b5f31366c538 | [
"MIT"
] | 9 | 2020-02-11T23:44:44.000Z | 2022-03-11T23:41:14.000Z | users/urls.py | Celoka/flight-booking-system | 17d0fb0f4cf4b039cc05d814e881b5f31366c538 | [
"MIT"
] | 1 | 2021-02-10T14:56:00.000Z | 2021-02-10T14:56:00.000Z | from django.urls import path
from .views import (RegisterUserView,
LoginView,
ImageUploadViewSet,
index)
urlpatterns = [
path('', index, name="home-route"),
path('auth/register/', RegisterUserView.as_view(), name="auth-register"),
path('auth/log... | 38.285714 | 90 | 0.623134 |
8bdf5446d6ba6b6534e256ec5bdea48d01fab34d | 3,070 | py | Python | interacting_with_regulondb.py | ASintsova/lab-notebook | f177738c4550d05e9e43ed3da637b51ea4a1fb35 | [
"MIT"
] | null | null | null | interacting_with_regulondb.py | ASintsova/lab-notebook | f177738c4550d05e9e43ed3da637b51ea4a1fb35 | [
"MIT"
] | null | null | null | interacting_with_regulondb.py | ASintsova/lab-notebook | f177738c4550d05e9e43ed3da637b51ea4a1fb35 | [
"MIT"
] | null | null | null | import sqlite3
import pandas as pd
import os
import sys
sys.path.append('/Users/annasintsova/git_repos/HUTI-RNAseq/analysis/methods')
import helpers
def get_all_regulators(db):
"""Returns a list of regulators"""
conn = sqlite3.connect(db)
cur = conn.cursor()
cur.execute("SELECT transcription_factor_id... | 31.979167 | 102 | 0.646906 |
50f09ce6a9dfe3581fd9e2b71d9c557ca2993e1f | 3,385 | py | Python | python3/koans/about_deleting_objects.py | Bege13mot/python_koans_solution | a679e685ef3bbc1c0ec29064d5eb6564c98b979e | [
"MIT"
] | 1 | 2017-05-21T11:45:30.000Z | 2017-05-21T11:45:30.000Z | python3/koans/about_deleting_objects.py | bege13mot/python_koans_solution | a679e685ef3bbc1c0ec29064d5eb6564c98b979e | [
"MIT"
] | null | null | null | python3/koans/about_deleting_objects.py | bege13mot/python_koans_solution | a679e685ef3bbc1c0ec29064d5eb6564c98b979e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutDeletingObjects(Koan):
def test_del_can_remove_slices(self):
lottery_nums = [4, 8, 15, 16, 23, 42]
del lottery_nums[1]
del lottery_nums[2:4]
self.assertEqual([4, 15, 42], lottery_nums)
def test... | 27.08 | 74 | 0.54062 |
27d52aad4fe733f971a9e76559eb46bd762949be | 1,145 | py | Python | Python27/ExcelUtil.py | smujm/MyProjects | 057da8137ffc0eff0b8d94e4f45494961d523385 | [
"MIT"
] | 1 | 2020-08-25T10:46:44.000Z | 2020-08-25T10:46:44.000Z | Python27/ExcelUtil.py | smujm/MyProjects | 057da8137ffc0eff0b8d94e4f45494961d523385 | [
"MIT"
] | null | null | null | Python27/ExcelUtil.py | smujm/MyProjects | 057da8137ffc0eff0b8d94e4f45494961d523385 | [
"MIT"
] | 1 | 2021-12-15T09:59:46.000Z | 2021-12-15T09:59:46.000Z | import xlwt
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
'''
这里是操作excel的工具类,以后也可以直接复用
方法调用SpiderUtils.create_excel(...)
'''
class ExcelUtils(object):
@staticmethod
def create_excel(sheet_name, row_titles):
'''
创建excel文件与sheet表，并创建他们的第一行标题
:param sheet_name: excel中sheet_n... | 24.361702 | 70 | 0.630568 |
1adfc03246cfc78791ce17c8ef2496423cda9652 | 626 | py | Python | blog/models.py | PocketsOfAir/django-girls-tutorial | c39bab2c97935872fb5a8017b584ed781dcf6cdc | [
"MIT"
] | null | null | null | blog/models.py | PocketsOfAir/django-girls-tutorial | c39bab2c97935872fb5a8017b584ed781dcf6cdc | [
"MIT"
] | null | null | null | blog/models.py | PocketsOfAir/django-girls-tutorial | c39bab2c97935872fb5a8017b584ed781dcf6cdc | [
"MIT"
] | null | null | null | from django.db import models
from django.utils import timezone
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date = models.DateTimeField(blank=... | 28.454545 | 80 | 0.666134 |
574f219a79474a92990540e463db929b95047711 | 22,193 | py | Python | freezer_api/storage/elastic.py | ctpegasus/freezer-api | b784327252ac6132a4d3b87c50e9a99c70d6c938 | [
"Apache-2.0"
] | null | null | null | freezer_api/storage/elastic.py | ctpegasus/freezer-api | b784327252ac6132a4d3b87c50e9a99c70d6c938 | [
"Apache-2.0"
] | null | null | null | freezer_api/storage/elastic.py | ctpegasus/freezer-api | b784327252ac6132a4d3b87c50e9a99c70d6c938 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2015 Hewlett-Packard
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softwar... | 40.20471 | 79 | 0.590907 |
11c485d983cbd4ac979681cd348f4bf8705b8b3d | 944 | py | Python | day06/part2/orbits.py | FernandoBuenoLima/advent-of-code-2019 | 33acbcf541f00682856b9dcfc54155bdad07d1ae | [
"Unlicense"
] | null | null | null | day06/part2/orbits.py | FernandoBuenoLima/advent-of-code-2019 | 33acbcf541f00682856b9dcfc54155bdad07d1ae | [
"Unlicense"
] | null | null | null | day06/part2/orbits.py | FernandoBuenoLima/advent-of-code-2019 | 33acbcf541f00682856b9dcfc54155bdad07d1ae | [
"Unlicense"
] | null | null | null | from tree import *
def pathfind(origin, target):
path = [origin]
return doPathfindRecursive(path, target)
def doPathfindRecursive(path, target):
current = path[-1]
if current == target:
return len(path)-1
nodes = []
for node in current.children:
if node not in path:
... | 20.977778 | 50 | 0.603814 |
b1254341ad1fe65722bc75976d4a7c25bad27bc1 | 417 | py | Python | ResidenciAppServidor/wsgi.py | ResidenciApp/ResidenciAppServidor | 7cc8c66bc07d198be37232fdc74d64227d14ce3d | [
"MIT"
] | 2 | 2019-10-31T03:21:07.000Z | 2019-12-11T16:25:33.000Z | ResidenciAppServidor/wsgi.py | ResidenciApp/ResidenciAppServidor | 7cc8c66bc07d198be37232fdc74d64227d14ce3d | [
"MIT"
] | 6 | 2021-03-19T02:43:26.000Z | 2022-02-10T10:42:00.000Z | ResidenciAppServidor/wsgi.py | lmbaeza/ResidenciAppServidor | 7cc8c66bc07d198be37232fdc74d64227d14ce3d | [
"MIT"
] | null | null | null | """
WSGI config for ResidenciAppServidor project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault(... | 24.529412 | 80 | 0.798561 |
4ad2c19ecd2d9be68519abd42ba8d88043792a0c | 2,673 | py | Python | OnToology/mock/__init__.py | runzbuzz/auton | d30a15d8573321f78831cf1456ef51e735772381 | [
"Apache-2.0"
] | 54 | 2015-05-20T16:12:12.000Z | 2022-03-28T10:48:06.000Z | OnToology/mock/__init__.py | runzbuzz/auton | d30a15d8573321f78831cf1456ef51e735772381 | [
"Apache-2.0"
] | 360 | 2015-05-14T00:14:01.000Z | 2022-03-24T16:05:53.000Z | OnToology/mock/__init__.py | runzbuzz/auton | d30a15d8573321f78831cf1456ef51e735772381 | [
"Apache-2.0"
] | 18 | 2015-07-08T10:58:02.000Z | 2022-03-24T12:25:50.000Z |
from .commit import *
from .fork import *
from .org import *
from .pull import *
from .repo import *
from .tree import *
from .user import *
from .milestone import *
user = "ahmad88me"
repo_name = "ontoology-auto-test-no-res"
repo_name_with_res = "ontoology-auto-test-with-res"
repo = user + "/" + repo_name
repo_with_... | 24.981308 | 122 | 0.479237 |
d73950f8604bd848018e63f064a7ec004ce5dd66 | 4,777 | py | Python | Lib/site-packages/django/contrib/gis/gdal/datasource.py | ashutoshsuman99/Web-Blog-D19 | a01a0ccc40e8823110c01ebe4f43d9351df57295 | [
"bzip2-1.0.6"
] | 123 | 2015-01-15T06:56:45.000Z | 2022-03-19T22:18:55.000Z | Lib/site-packages/django/contrib/gis/gdal/datasource.py | ashutoshsuman99/Web-Blog-D19 | a01a0ccc40e8823110c01ebe4f43d9351df57295 | [
"bzip2-1.0.6"
] | 21 | 2015-03-25T18:00:33.000Z | 2019-08-12T17:11:10.000Z | Lib/site-packages/django/contrib/gis/gdal/datasource.py | ashutoshsuman99/Web-Blog-D19 | a01a0ccc40e8823110c01ebe4f43d9351df57295 | [
"bzip2-1.0.6"
] | 72 | 2015-01-14T16:29:47.000Z | 2021-10-09T16:31:47.000Z | """
DataSource is a wrapper for the OGR Data Source object, which provides
an interface for reading vector geometry data from many different file
formats (including ESRI shapefiles).
When instantiating a DataSource object, use the filename of a
GDAL-supported data source. For example, a SHP file or a
TIGER/Line... | 36.746154 | 92 | 0.637639 |
ff4767b0dbcef30d212db3f38884dfb67bfd9ace | 953 | py | Python | Python_ch4/Ch4_5_Sentinels.py | ninhnguyen01/Python_Book | e5e372f1895b06e908cd0dd07dc68a260c34d7ad | [
"Apache-2.0"
] | null | null | null | Python_ch4/Ch4_5_Sentinels.py | ninhnguyen01/Python_Book | e5e372f1895b06e908cd0dd07dc68a260c34d7ad | [
"Apache-2.0"
] | null | null | null | Python_ch4/Ch4_5_Sentinels.py | ninhnguyen01/Python_Book | e5e372f1895b06e908cd0dd07dc68a260c34d7ad | [
"Apache-2.0"
] | null | null | null | # Sentinels (Title)
# Reading
# This program displays property taxes.
TAX_FACTOR = 0.0065
# Get the first lot number.
print('Enter the property lot number or enter 0 to end.')
lot = int(input('Lot number: '))
# Continue processsing as long as the user does not enter lot number
# 0.
while lot != 0:
# Get the... | 19.44898 | 69 | 0.650577 |
609a681d2e6a78ad2de7ecca45fcb7f868689aa3 | 40,842 | py | Python | pytorch_lightning/utilities/cli.py | VedPatwardhan/pytorch-lightning | 623dc974f56505cfdb6a7c62ad75780229e101de | [
"Apache-2.0"
] | 2 | 2022-01-24T12:40:51.000Z | 2022-01-25T02:26:32.000Z | pytorch_lightning/utilities/cli.py | VedPatwardhan/pytorch-lightning | 623dc974f56505cfdb6a7c62ad75780229e101de | [
"Apache-2.0"
] | 1 | 2021-09-20T00:24:38.000Z | 2021-09-20T00:24:38.000Z | pytorch_lightning/utilities/cli.py | VedPatwardhan/pytorch-lightning | 623dc974f56505cfdb6a7c62ad75780229e101de | [
"Apache-2.0"
] | 2 | 2022-02-11T08:26:13.000Z | 2022-03-21T03:48:34.000Z | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 46.729977 | 120 | 0.650825 |
0c38aa566eb888aa5c27830c3785593d1f14d406 | 699 | py | Python | Visualization/us_counties.py | monocilindro/qgis-earthengine-examples | 82aea8926d34ed3f4ad4a4a345ddbd225819d28f | [
"MIT"
] | 646 | 2019-12-03T06:09:03.000Z | 2022-03-28T03:37:08.000Z | Visualization/us_counties.py | csaybar/qgis-earthengine-examples | ba8942683834d2847ff3246bdd1859b36e50fe44 | [
"MIT"
] | 10 | 2019-12-30T03:42:44.000Z | 2021-05-22T07:34:07.000Z | Visualization/us_counties.py | csaybar/qgis-earthengine-examples | ba8942683834d2847ff3246bdd1859b36e50fe44 | [
"MIT"
] | 219 | 2019-12-06T02:20:53.000Z | 2022-03-30T15:14:27.000Z | import ee
from ee_plugin import Map
dataset = ee.FeatureCollection('TIGER/2018/Counties')
visParams = {
'palette': ['purple', 'blue', 'green', 'yellow', 'orange', 'red'],
'min': 0,
'max': 50,
'opacity': 0.8,
}
# Turn the strings into numbers
dataset = dataset.map(lambda f: f.set('STATEFP', ee.Number.parse(f... | 27.96 | 84 | 0.668097 |
c36ea07e41d4d16b6fe239c9707805d1c68ad5da | 2,923 | py | Python | apps/browser/firefox.py | AndreasArvidsson/andreas-talon | 240218a385e450188a28f628af48d53d56d091d5 | [
"MIT"
] | 11 | 2021-08-22T19:41:23.000Z | 2022-02-24T11:39:42.000Z | apps/browser/firefox.py | AndreasArvidsson/talon-user | c8945d94a8c3c53083b2f75b9e585500d9ae8845 | [
"MIT"
] | null | null | null | apps/browser/firefox.py | AndreasArvidsson/talon-user | c8945d94a8c3c53083b2f75b9e585500d9ae8845 | [
"MIT"
] | 2 | 2022-01-28T04:59:31.000Z | 2022-03-04T21:28:59.000Z | from talon import Module, Context, actions, app
key = actions.key
ctx = Context()
mod = Module()
apps = mod.apps
apps.firefox = "app.name: Firefox"
apps.firefox = "app.name: firefox"
apps.firefox = """
os: windows
and app.name: Firefox
os: windows
and app.exe: firefox.exe
"""
apps.firefox = """
os: mac
and app.bundle:... | 26.098214 | 56 | 0.571331 |
743bff7eb823fe626dfca8d7a42af91dbe16ff58 | 1,719 | py | Python | 16.Clustering/16.5.MeanShift.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | 16.Clustering/16.5.MeanShift.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | 16.Clustering/16.5.MeanShift.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | # !/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import sklearn.datasets as ds
import matplotlib.colors
from sklearn.cluster import MeanShift
from sklearn.metrics import euclidean_distances
if __name__ == "__main__":
N = 1000
centers = [[1, 2], [-1, -1], [1, -1], [-... | 36.574468 | 112 | 0.612565 |
244aa0243d6eb61686a159c057d8e7a049106a40 | 514 | py | Python | bin/sample_sparkline.py | aayoubi/spyklines | 23969d4ceabeeb661cbcc607547c8ca964412f86 | [
"MIT"
] | 2 | 2019-11-06T12:11:43.000Z | 2020-07-23T09:30:47.000Z | bin/sample_sparkline.py | aayoubi/spyklines | 23969d4ceabeeb661cbcc607547c8ca964412f86 | [
"MIT"
] | 1 | 2020-07-22T16:45:25.000Z | 2020-07-22T16:45:25.000Z | bin/sample_sparkline.py | aayoubi/spyklines | 23969d4ceabeeb661cbcc607547c8ca964412f86 | [
"MIT"
] | 3 | 2020-02-22T13:10:22.000Z | 2021-02-15T17:36:14.000Z | import matplotlib.pyplot as plt
import numpy as np
from spyklines import SparkLine, TrendLine
if __name__ == '__main__':
number_of_plots = 10
plt.figure(figsize=(6, 4))
for i in range(1, number_of_plots + 1):
ax = plt.subplot(number_of_plots, 1, i)
values = np.random.randint(100, 500, siz... | 28.555556 | 58 | 0.642023 |
93f342036f8c102a6cf7d2898ff9c9990a8e55b5 | 11,764 | py | Python | intersight/model/iaas_most_run_tasks_response.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/iaas_most_run_tasks_response.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/iaas_most_run_tasks_response.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advan... | 47.056 | 1,678 | 0.637538 |
00ff6334d937372140f4f72b15e1494034bddd11 | 7,142 | py | Python | apps/trade/src/CrossTrader.py | kikei/btc-bot-ai | cb118fa1809ebef472a2025be697c9050e948009 | [
"Apache-2.0"
] | 1 | 2020-02-02T13:53:21.000Z | 2020-02-02T13:53:21.000Z | apps/trade/src/CrossTrader.py | kikei/btc-bot-ai | cb118fa1809ebef472a2025be697c9050e948009 | [
"Apache-2.0"
] | null | null | null | apps/trade/src/CrossTrader.py | kikei/btc-bot-ai | cb118fa1809ebef472a2025be697c9050e948009 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import concurrent.futures
CWD = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(CWD, '..', 'config'))
from Markets import Markets
import market.MarketConstants as Const
from classes import Tick
def get_executor():
executor = concurrent.futures.ThreadPoolExecutor(max_wor... | 30.262712 | 77 | 0.58541 |
a9758c8f089c11fde5b4a0bc128205770cbc7fb9 | 3,874 | py | Python | azure-mgmt-network/azure/mgmt/network/v2018_01_01/models/application_gateway_request_routing_rule_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-network/azure/mgmt/network/v2018_01_01/models/application_gateway_request_routing_rule_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-network/azure/mgmt/network/v2018_01_01/models/application_gateway_request_routing_rule_py3.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 49.037975 | 275 | 0.680692 |
0d9cfbed35d44d3a806b92669b29e4b9b41b2265 | 2,257 | py | Python | third_party/gsutil/gslib/addlhelp/anon.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 1,894 | 2015-04-17T18:29:53.000Z | 2022-03-28T22:41:06.000Z | third_party/gsutil/gslib/addlhelp/anon.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | third_party/gsutil/gslib/addlhelp/anon.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | # -*- coding: utf-8 -*-
# Copyright 2012 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 37.616667 | 79 | 0.770049 |
5c67e76d41cdd04a6e138c3d14a43cb22e88bc84 | 926 | py | Python | content/charts/amdahl-efficiency.py | ENCCS/veloxchem-hpc | 548c68f90816f4774a7ed9d5c18b1a1afb98f1bf | [
"CC-BY-4.0"
] | null | null | null | content/charts/amdahl-efficiency.py | ENCCS/veloxchem-hpc | 548c68f90816f4774a7ed9d5c18b1a1afb98f1bf | [
"CC-BY-4.0"
] | 3 | 2022-02-28T14:49:31.000Z | 2022-03-03T10:04:08.000Z | content/charts/amdahl-efficiency.py | ENCCS/veloxchem-hpc | 548c68f90816f4774a7ed9d5c18b1a1afb98f1bf | [
"CC-BY-4.0"
] | 3 | 2022-02-17T01:18:05.000Z | 2022-03-05T11:59:10.000Z | #!/usr/bin/env python3
import numpy as np
import plotly.graph_objects as go
serial_fraction = [0.001, 0.01, 0.1, 0.3, 0.5]
workers = np.around(np.geomspace(1, 2048, num=12)).astype(int)
fig = go.Figure()
for i, f in enumerate(serial_fraction):
efficiency = 1 / np.multiply(workers, (f + (1 - f) / workers))
fig... | 26.457143 | 66 | 0.605832 |
910040b14ea98f39ea41cdabfcfbc58fcdf0c978 | 1,772 | py | Python | stellar/rooms.py | wg4568/PyStellarEngine | feec17fa5795fe2aa131bdf9d36b4b5b4f1a2601 | [
"MIT"
] | 2 | 2017-05-02T01:18:06.000Z | 2017-05-02T10:33:48.000Z | stellar/rooms.py | wg4568/PyStellarEngine | feec17fa5795fe2aa131bdf9d36b4b5b4f1a2601 | [
"MIT"
] | null | null | null | stellar/rooms.py | wg4568/PyStellarEngine | feec17fa5795fe2aa131bdf9d36b4b5b4f1a2601 | [
"MIT"
] | null | null | null | class Room:
def __init__(self):
self.game = None
self.background = (0, 0, 0)
self.all_objects = []
self.objects = []
self.fixtures = []
self.active = False
self.size = None
def game_link(self, game):
self.game = game
self.size = self.game.size
def add_object(self, obj):
obj.room_link(self)
se... | 18.652632 | 74 | 0.692438 |
bd87f03baffa50bd99d559ddd3e1c68341b3c234 | 10,709 | py | Python | scripts/validate.py | risseraka/english-wordnet | 72c8fbcd616937b8bdba3340899bf234eaed77c0 | [
"CC-BY-4.0"
] | null | null | null | scripts/validate.py | risseraka/english-wordnet | 72c8fbcd616937b8bdba3340899bf234eaed77c0 | [
"CC-BY-4.0"
] | null | null | null | scripts/validate.py | risseraka/english-wordnet | 72c8fbcd616937b8bdba3340899bf234eaed77c0 | [
"CC-BY-4.0"
] | null | null | null | from wordnet import *
import re
import sys
import glob
import sense_keys
def check_symmetry(wn, fix):
errors = []
for synset in wn.synsets:
for rel in synset.synset_relations:
if rel.rel_type in inverse_synset_rels:
synset2 = wn.synset_by_id(rel.target)
if no... | 40.411321 | 176 | 0.53964 |
e7534867323d0a3ae75145b105bff28d83b54d8c | 1,549 | py | Python | se/commands/prepare_release.py | jggimi/tools | b4aa35f986b22ab1b92dae1e0bfad9c4d94b6cf7 | [
"CC0-1.0"
] | null | null | null | se/commands/prepare_release.py | jggimi/tools | b4aa35f986b22ab1b92dae1e0bfad9c4d94b6cf7 | [
"CC0-1.0"
] | null | null | null | se/commands/prepare_release.py | jggimi/tools | b4aa35f986b22ab1b92dae1e0bfad9c4d94b6cf7 | [
"CC0-1.0"
] | null | null | null | """
This module implements the `se prepare_release` command.
"""
import argparse
from pathlib import Path
import se
from se.se_epub import SeEpub
def prepare_release() -> int:
"""
Entry point for `se prepare-release`
"""
parser = argparse.ArgumentParser(description="Calculate work word count, insert release da... | 27.660714 | 157 | 0.704971 |
6bc893d129511ba0641153780336f25efb184b52 | 2,140 | py | Python | tpDcc/libs/unittests/dccs/maya/result.py | tpDcc/tpDcc-libs-unittest | 8897c8feb45b2d474495af8f0370c6c504959873 | [
"MIT"
] | null | null | null | tpDcc/libs/unittests/dccs/maya/result.py | tpDcc/tpDcc-libs-unittest | 8897c8feb45b2d474495af8f0370c6c504959873 | [
"MIT"
] | null | null | null | tpDcc/libs/unittests/dccs/maya/result.py | tpDcc/tpDcc-libs-unittest | 8897c8feb45b2d474495af8f0370c6c504959873 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains tpDcc-libs-unittest unit test Maya result class
"""
from __future__ import print_function, division, absolute_import
import os
import shutil
import logging
import maya.cmds
from tpDcc.libs.unittests.core import settings, result
from tpDcc.libs... | 30.140845 | 116 | 0.674299 |
9adcf7d74bd677a580d9a5ecd94ce95e4efef084 | 8,941 | py | Python | test/test_dataset.py | alexandrugavril/habitat-api | 95106a965355e024dc7ebd109519799a64530660 | [
"MIT"
] | null | null | null | test/test_dataset.py | alexandrugavril/habitat-api | 95106a965355e024dc7ebd109519799a64530660 | [
"MIT"
] | null | null | null | test/test_dataset.py | alexandrugavril/habitat-api | 95106a965355e024dc7ebd109519799a64530660 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from itertools import groupby, islice
import pytest
from habitat.core.dataset import Dataset, Episode
def _construct... | 33.867424 | 79 | 0.676546 |
b97548f3857ba8edccb8632a1d7d76b2e47ac195 | 1,449 | py | Python | networks/modular_downscaling_model/input_modules/InputModule.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | 5 | 2021-05-05T06:08:52.000Z | 2022-03-24T04:57:52.000Z | networks/modular_downscaling_model/input_modules/InputModule.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | null | null | null | networks/modular_downscaling_model/input_modules/InputModule.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | 2 | 2021-08-07T05:18:05.000Z | 2022-03-31T03:48:37.000Z | import torch
import torch.nn as nn
class InputModule(nn.Module):
def __init__(self, module_lr, module_hr=None, module_combined=None):
super(InputModule, self).__init__()
output_channels = self._verify_compatibility(module_lr, module_hr, module_combined)
self.module_lr = module_lr
s... | 41.4 | 91 | 0.693582 |
271adf1d45c9c87358e977fcb7ef04f9d7e3b5d5 | 701 | py | Python | dataset/models/tf/layers/__init__.py | mikhailkin/dataset | 7417483fdbe2e3743af4d614cb9036fd5b1375c0 | [
"Apache-2.0"
] | null | null | null | dataset/models/tf/layers/__init__.py | mikhailkin/dataset | 7417483fdbe2e3743af4d614cb9036fd5b1375c0 | [
"Apache-2.0"
] | null | null | null | dataset/models/tf/layers/__init__.py | mikhailkin/dataset | 7417483fdbe2e3743af4d614cb9036fd5b1375c0 | [
"Apache-2.0"
] | null | null | null | """ Custom tf layers and operations """
import numpy as np
import tensorflow as tf
from .core import flatten, flatten2d, maxout, mip, xip, alpha_dropout
from .conv_block import conv_block, upsample
from .conv import conv1d_transpose, conv1d_transpose_nn, conv_transpose, separable_conv, separable_conv_transpose
from .p... | 50.071429 | 113 | 0.7903 |
d502d78b2a3b2674d683c381495172e6dfa7e6fa | 12,255 | py | Python | lib/improver/utilities/solar.py | TomekTrzeciak/improver | 74b7bc0d194c30ea7af426d153e5047ccb67f60c | [
"BSD-3-Clause"
] | null | null | null | lib/improver/utilities/solar.py | TomekTrzeciak/improver | 74b7bc0d194c30ea7af426d153e5047ccb67f60c | [
"BSD-3-Clause"
] | null | null | null | lib/improver/utilities/solar.py | TomekTrzeciak/improver | 74b7bc0d194c30ea7af426d153e5047ccb67f60c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2019 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions a... | 39.660194 | 79 | 0.624806 |
ec75db9ddbb87cfe7c065a95cd2fab10ea0106cd | 90 | py | Python | boto3_type_annotations_with_docs/boto3_type_annotations/codestar/__init__.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 119 | 2018-12-01T18:20:57.000Z | 2022-02-02T10:31:29.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/codestar/__init__.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 15 | 2018-11-16T00:16:44.000Z | 2021-11-13T03:44:18.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/codestar/__init__.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 11 | 2019-05-06T05:26:51.000Z | 2021-09-28T15:27:59.000Z | from boto3_type_annotations.codestar.client import Client
__all__ = (
'Client'
)
| 15 | 57 | 0.722222 |
896999f944912a2506b1d30f41698197db819cbc | 4,155 | py | Python | dateparser/data/date_translation_data/mk.py | Rodp63/dateparser | 938a9573234679b603210bd47cc93eb258b1f1df | [
"BSD-3-Clause"
] | null | null | null | dateparser/data/date_translation_data/mk.py | Rodp63/dateparser | 938a9573234679b603210bd47cc93eb258b1f1df | [
"BSD-3-Clause"
] | null | null | null | dateparser/data/date_translation_data/mk.py | Rodp63/dateparser | 938a9573234679b603210bd47cc93eb258b1f1df | [
"BSD-3-Clause"
] | null | null | null | info = {
"name": "mk",
"date_order": "DMY",
"january": [
"јан",
"јануари"
],
"february": [
"фев",
"февруари"
],
"march": [
"мар",
"март"
],
"april": [
"апр",
"април"
],
"may": [
"мај"
],
"june": [... | 17.680851 | 34 | 0.272924 |
b4e565d39038b531292f95fd4096bda7b69a8492 | 14,329 | py | Python | brian2/core/base.py | Kyzarok/SNNProject | 14b555e221dbdd5100cb4f6333e49030423462ea | [
"BSD-2-Clause"
] | 2 | 2020-03-20T13:30:19.000Z | 2020-03-20T13:30:57.000Z | brian2/core/base.py | Kyzarok/SNNProject | 14b555e221dbdd5100cb4f6333e49030423462ea | [
"BSD-2-Clause"
] | null | null | null | brian2/core/base.py | Kyzarok/SNNProject | 14b555e221dbdd5100cb4f6333e49030423462ea | [
"BSD-2-Clause"
] | null | null | null | '''
All Brian objects should derive from `BrianObject`.
'''
import weakref
import traceback
import os
import sys
from brian2.utils.logger import get_logger
from brian2.core.names import Nameable
from brian2.units.allunits import second
from brian2.units.fundamentalunits import check_units
__all__ = ['BrianObject',
... | 40.36338 | 109 | 0.592226 |
6a2918be84bf52e5d0f44175cadf2a300aceb11c | 3,529 | py | Python | mltoolkit/mldp/tests/transformers/test_vocab_mapper.py | stungkit/Copycat-abstractive-opinion-summarizer | 04fe5393a7bb6883516766b762f6a0c530e95375 | [
"MIT"
] | 51 | 2020-09-25T07:05:01.000Z | 2022-03-17T12:07:40.000Z | mltoolkit/mldp/tests/transformers/test_vocab_mapper.py | stungkit/Copycat-abstractive-opinion-summarizer | 04fe5393a7bb6883516766b762f6a0c530e95375 | [
"MIT"
] | 4 | 2020-10-19T10:00:22.000Z | 2022-03-14T17:02:47.000Z | mltoolkit/mldp/tests/transformers/test_vocab_mapper.py | stungkit/Copycat-abstractive-opinion-summarizer | 04fe5393a7bb6883516766b762f6a0c530e95375 | [
"MIT"
] | 22 | 2020-09-22T01:06:47.000Z | 2022-01-26T14:20:09.000Z | import unittest
from mltoolkit.mldp.tests.common import read_data_from_csv_file
from mltoolkit.mldp.utils.tools import Vocabulary, DataChunk
from mltoolkit.mldp.steps.transformers.nlp import VocabMapper
from mltoolkit.mldp.steps.readers import CsvReader
import copy
import numpy as np
class TestVocabMapper(unittest.Te... | 35.29 | 80 | 0.606687 |
a305707db76815514a4ae1891fbee441894578e0 | 650 | py | Python | Aula18/ex08.py | danicon/MD3-Curso_Python | 3d419d440d3b28adb5c019268f4b217e7d0ce45a | [
"MIT"
] | null | null | null | Aula18/ex08.py | danicon/MD3-Curso_Python | 3d419d440d3b28adb5c019268f4b217e7d0ce45a | [
"MIT"
] | null | null | null | Aula18/ex08.py | danicon/MD3-Curso_Python | 3d419d440d3b28adb5c019268f4b217e7d0ce45a | [
"MIT"
] | null | null | null | from random import randint
from time import sleep
lista = list()
jogos = list()
print('-'*30)
print(f'{"JOGA NA MEGA SENA":^30}')
print('-'*30)
quant = int(input('Quantos jogos você quer que eu sortei? '))
tot = 1
while tot <= quant:
cont = 0
while True:
num = randint(1, 60)
if num not in lista:... | 24.074074 | 61 | 0.54 |
5a24594ac470c6c102cca9da652bd195bf6d97c7 | 342 | py | Python | src/data/migrations/0004_auto_20210220_2304.py | oreoluwa/stocksight | 764167ae88904f04cea0b01161e2c17da3951355 | [
"Apache-2.0"
] | null | null | null | src/data/migrations/0004_auto_20210220_2304.py | oreoluwa/stocksight | 764167ae88904f04cea0b01161e2c17da3951355 | [
"Apache-2.0"
] | null | null | null | src/data/migrations/0004_auto_20210220_2304.py | oreoluwa/stocksight | 764167ae88904f04cea0b01161e2c17da3951355 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.7 on 2021-02-20 23:04
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('data', '0003_auto_20210220_2251'),
]
operations = [
migrations.RenameModel(
old_name='ArticleAuthors',
new_name='ArticleAuth... | 19 | 47 | 0.608187 |
c6da5ac62cc1e025e6675ef5710a8b1a8d22c09a | 2,842 | py | Python | test/functional/interface_rpc.py | bitcoin-global/bitcoin-global | 8f8783245ec209ba1ae4b2c0717f9d8f2d5658ea | [
"MIT"
] | 3 | 2020-09-23T23:55:28.000Z | 2021-07-10T03:21:46.000Z | test/functional/interface_rpc.py | Penny-Admixture/bitcoin-global | 8f8783245ec209ba1ae4b2c0717f9d8f2d5658ea | [
"MIT"
] | 2 | 2020-07-28T08:55:30.000Z | 2021-04-22T10:57:10.000Z | test/functional/interface_rpc.py | Penny-Admixture/bitcoin-global | 8f8783245ec209ba1ae4b2c0717f9d8f2d5658ea | [
"MIT"
] | 1 | 2021-06-12T07:04:55.000Z | 2021-06-12T07:04:55.000Z | #!/usr/bin/env python3
# Copyright (c) 2018-2019 The Bitcoin Core developers
# Copyright (c) 2020 The Bitcoin Global developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Tests some generic aspects of the RPC interface."""
... | 36.435897 | 98 | 0.662913 |
b46a4922398bbc6abb0808d485dbdcb7e69e82f9 | 9,338 | py | Python | HW2-named-entity-recognition/code_share/utils.py | henniekim/named-entity-recognition | 155fd6d50cc126082b4b90dea12037be273ce24c | [
"MIT"
] | null | null | null | HW2-named-entity-recognition/code_share/utils.py | henniekim/named-entity-recognition | 155fd6d50cc126082b4b90dea12037be273ce24c | [
"MIT"
] | null | null | null | HW2-named-entity-recognition/code_share/utils.py | henniekim/named-entity-recognition | 155fd6d50cc126082b4b90dea12037be273ce24c | [
"MIT"
] | null | null | null | import numpy as np
import os
# shared global variables to be imported from model also
UNK = "$UNK$"
NUM = "$NUM$"
NONE = "O"
class Config():
# general config
dir_output = "results/test/"
dir_model = dir_output + "model.weights/"
path_log = dir_output + "log.txt"
# embeddings
dim_word = 50... | 31.761905 | 94 | 0.575926 |
fc83545c3ba9868ecb3d3feb9d9f76704354913f | 616 | py | Python | test/unittests/test_NConc.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | null | null | null | test/unittests/test_NConc.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 6 | 2018-07-24T22:46:28.000Z | 2018-07-29T19:13:09.000Z | test/unittests/test_NConc.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 1 | 2018-07-24T18:22:01.000Z | 2018-07-24T18:22:01.000Z | import numpy as np
from VariableUnittest import VariableUnitTest
from gwlfe.Output.Loading import NConc
class TestNConc(VariableUnitTest):
def test_NConc(self):
z = self.z
np.testing.assert_array_almost_equal(
NConc.NConc_f(z.NRur, z.NUrb, z.NitrConc, z.ManNitr, z.ManuredAreas, z.Firs... | 41.066667 | 119 | 0.686688 |
b30b59bd56ab99999a71fbc517f1f030532b0d07 | 1,353 | py | Python | improvement-prediction/recommend_datasets.py | VIDA-NYU/prida | cb2af13704506abc73d10f5c346ea21f70dd6e65 | [
"BSD-3-Clause"
] | 1 | 2021-06-12T02:03:54.000Z | 2021-06-12T02:03:54.000Z | improvement-prediction/recommend_datasets.py | VIDA-NYU/prida | cb2af13704506abc73d10f5c346ea21f70dd6e65 | [
"BSD-3-Clause"
] | null | null | null | improvement-prediction/recommend_datasets.py | VIDA-NYU/prida | cb2af13704506abc73d10f5c346ea21f70dd6e65 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import json
import sys
from recommender import *
if __name__ == '__main__':
"""This script reads a training file with lines in the format
features generated by
generate_data_for_augmentation_learning_spark.py, learns
how to predict relative gains with data augmentation, and
... | 43.645161 | 116 | 0.707317 |
579840e139ea21f653294ebdd84baff90adf7d08 | 473 | py | Python | Source_Pages/Upload.py | StephenJD/TnT.Cinley | 1779ef282eeb6d7381f5a6361f14928202d57eb3 | [
"MIT"
] | null | null | null | Source_Pages/Upload.py | StephenJD/TnT.Cinley | 1779ef282eeb6d7381f5a6361f14928202d57eb3 | [
"MIT"
] | null | null | null | Source_Pages/Upload.py | StephenJD/TnT.Cinley | 1779ef282eeb6d7381f5a6361f14928202d57eb3 | [
"MIT"
] | null | null | null | import subprocess
from pathlib import Path
def updateWebsite(webRootPath):
ParmsAdd = ("add", ".")
ParmsCommit = ("commit","-m", "Upload new content")
ParmsPush = ("push", "origin", "master")
Git = "git"
subprocess.run([Git, *ParmsAdd], shell=False, cwd=webRootPath)
subprocess.run([Git, *ParmsCommit], shel... | 31.533333 | 67 | 0.710359 |
ff4a42a3394b591146a89061ecbea19fd9977dac | 155 | py | Python | chill/examples/chill/testcases/test_permute.py | CompOpt4Apps/Artifact-DataDepSimplify | 4fa1bf2bda2902fec50a54ee79ae405a554fc9f4 | [
"MIT"
] | 5 | 2019-05-20T03:35:41.000Z | 2021-09-16T22:22:13.000Z | chill/examples/chill/testcases/test_permute.py | CompOpt4Apps/Artifact-DataDepSimplify | 4fa1bf2bda2902fec50a54ee79ae405a554fc9f4 | [
"MIT"
] | null | null | null | chill/examples/chill/testcases/test_permute.py | CompOpt4Apps/Artifact-DataDepSimplify | 4fa1bf2bda2902fec50a54ee79ae405a554fc9f4 | [
"MIT"
] | null | null | null | from chill import *
source('mm.c')
procedure('mm')
#format: rose
loop(0)
known('ambn > 0')
known('an > 0')
known('bm > 0')
permute([3,2,1])
print_code()
| 11.923077 | 19 | 0.619355 |
30f9fa7a6050d03395602281f06a3da07c71dded | 35 | py | Python | python/testData/surround/SurroundNewline.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2018-12-29T09:53:39.000Z | 2018-12-29T09:53:42.000Z | python/testData/surround/SurroundNewline.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/surround/SurroundNewline.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | <selection>a = 1
</selection>
a = 2 | 11.666667 | 16 | 0.628571 |
e3c7e78fdd00ec7157fe4a82add968be8ba26df1 | 12,102 | py | Python | train.py | nyLiao/GPT2-Chinese | 18af9c9547320ed9f472951a33569729ec829f67 | [
"MIT"
] | null | null | null | train.py | nyLiao/GPT2-Chinese | 18af9c9547320ed9f472951a33569729ec829f67 | [
"MIT"
] | null | null | null | train.py | nyLiao/GPT2-Chinese | 18af9c9547320ed9f472951a33569729ec829f67 | [
"MIT"
] | null | null | null | import transformers
import torch
import os
import json
import random
import numpy as np
import argparse
# from torch.utils.tensorboard import SummaryWriter
from datetime import datetime
from tqdm import tqdm
from torch.nn import DataParallel
# from tokenizations.bpe_tokenizer import get_encoder
def build_files(data_p... | 47.833992 | 123 | 0.640307 |
bc54e69b8ce5534d5d45e11e71108a67c23daa00 | 1,197 | py | Python | setup.py | naibo-code/nnabla_tensorboard | eea69bc18e912ba602a5c62ecaaf21a837764d16 | [
"MIT"
] | null | null | null | setup.py | naibo-code/nnabla_tensorboard | eea69bc18e912ba602a5c62ecaaf21a837764d16 | [
"MIT"
] | null | null | null | setup.py | naibo-code/nnabla_tensorboard | eea69bc18e912ba602a5c62ecaaf21a837764d16 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
version_git = '0.1'
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
'numpy',
'protobuf >= 3.8.0',
'six',
]
test_requirements = [
'pytest',
'matplotlib',
'c... | 24.9375 | 77 | 0.643275 |
dbb9d1b84f345b8ab53c8ea83110c1915713935c | 208 | py | Python | ccgowl/simulations/simulation.py | cmazzaanthony/ccgowl | 31e12579449c296d7581c2838b5d7d7873361b48 | [
"MIT"
] | 8 | 2019-06-20T17:26:15.000Z | 2020-08-26T04:19:22.000Z | ccgowl/simulations/simulation.py | cmazzaanthony/ccgowl | 31e12579449c296d7581c2838b5d7d7873361b48 | [
"MIT"
] | 3 | 2021-03-25T22:42:42.000Z | 2021-06-01T23:52:14.000Z | ccgowl/simulations/simulation.py | cmazzaanthony/ccgowl | 31e12579449c296d7581c2838b5d7d7873361b48 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
class Simulation(ABC):
@abstractmethod
def run(self, *arg, **kwargs):
pass
@abstractmethod
def plot_results(self, *arg, **kwargs):
pass
| 16 | 43 | 0.629808 |
40db722767ef8ef35094b1a8122dde7ac921d120 | 6,796 | py | Python | molecule/driver/delegated.py | micheelengronne/molecule | 152be703d65606d6bdea7202bc5270ceb108c8ba | [
"MIT"
] | 1 | 2019-05-14T13:03:34.000Z | 2019-05-14T13:03:34.000Z | molecule/driver/delegated.py | micheelengronne/molecule | 152be703d65606d6bdea7202bc5270ceb108c8ba | [
"MIT"
] | 11 | 2019-05-16T17:10:49.000Z | 2019-06-13T20:51:15.000Z | molecule/driver/delegated.py | micheelengronne/molecule | 152be703d65606d6bdea7202bc5270ceb108c8ba | [
"MIT"
] | 1 | 2021-04-26T19:47:39.000Z | 2021-04-26T19:47:39.000Z | # Copyright (c) 2015-2018 Cisco Systems, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge... | 32.516746 | 79 | 0.623161 |
88ac93467503e354f5ac2b086117a04a164f76bd | 3,439 | py | Python | test/functional/mempool_persist.py | freelancedeveloper025/titaniumcore | 7a629d0391d78527bad017ce0b8b02c964a26258 | [
"MIT"
] | null | null | null | test/functional/mempool_persist.py | freelancedeveloper025/titaniumcore | 7a629d0391d78527bad017ce0b8b02c964a26258 | [
"MIT"
] | null | null | null | test/functional/mempool_persist.py | freelancedeveloper025/titaniumcore | 7a629d0391d78527bad017ce0b8b02c964a26258 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test mempool persistence.
By default, bitcoind will dump mempool on shutdown and
then reload it on sta... | 41.433735 | 127 | 0.698168 |
f66e0dc364fab2c111de4e9ab7b7330b95cabff6 | 10,701 | py | Python | pyscf/grad/dhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 2 | 2021-06-30T22:33:35.000Z | 2021-11-22T18:02:36.000Z | pyscf/grad/dhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 36 | 2018-08-22T19:44:03.000Z | 2020-05-09T10:02:36.000Z | pyscf/grad/dhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 4 | 2018-02-14T16:28:28.000Z | 2019-08-12T16:40:30.000Z | #!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 36.274576 | 83 | 0.572563 |
7c0a50e081ff113d491e1d50233bcf6cb8cde7c4 | 1,659 | py | Python | datafactory/models/dict.py | righ/datafactory | 8299df4e29472381ccfe91535fdecf8e97a46d32 | [
"Apache-2.0"
] | 2 | 2015-07-09T08:49:32.000Z | 2015-09-04T13:43:40.000Z | datafactory/models/dict.py | righ/datafactory | 8299df4e29472381ccfe91535fdecf8e97a46d32 | [
"Apache-2.0"
] | 1 | 2020-06-06T13:12:39.000Z | 2020-06-06T13:12:39.000Z | datafactory/models/dict.py | righ/datafactory | 8299df4e29472381ccfe91535fdecf8e97a46d32 | [
"Apache-2.0"
] | 1 | 2020-11-06T08:11:51.000Z | 2020-11-06T08:11:51.000Z | # coding: utf-8
from .base import BaseModel
from ..api import render, special
class DictModel(BaseModel, dict):
"""dict structure that is repeatedly drawn."""
__type = dict
def __init__(self, params, callback=None):
"""define dict-structure model.
:param dict params: elements.
:... | 30.163636 | 88 | 0.605184 |
43e19b2f12dff4e955c6e36e2051b994e821daaf | 132 | py | Python | tests/BaseTest.py | jsutch/webhook_as_a_service_demo | 8c9d9f00b0dab04e0d2819d89007cf18fa8bd57f | [
"BSD-2-Clause"
] | null | null | null | tests/BaseTest.py | jsutch/webhook_as_a_service_demo | 8c9d9f00b0dab04e0d2819d89007cf18fa8bd57f | [
"BSD-2-Clause"
] | null | null | null | tests/BaseTest.py | jsutch/webhook_as_a_service_demo | 8c9d9f00b0dab04e0d2819d89007cf18fa8bd57f | [
"BSD-2-Clause"
] | null | null | null | import unittest
from app import app
class BaseTest(unittest.TestCase):
def setUp(self):
self.app = app.test_client()
| 14.666667 | 36 | 0.69697 |
dcfa611fc599f557d064ff8843fcd33d39388295 | 19,243 | py | Python | django/analysis/tracer.py | kantai/passe-framework-prototype | 51a441b689c54cfd57748129f77fde3c7a08e5c3 | [
"BSD-3-Clause"
] | 3 | 2016-07-06T16:34:38.000Z | 2021-02-10T08:06:23.000Z | django/analysis/tracer.py | kantai/passe-framework-prototype | 51a441b689c54cfd57748129f77fde3c7a08e5c3 | [
"BSD-3-Clause"
] | null | null | null | django/analysis/tracer.py | kantai/passe-framework-prototype | 51a441b689c54cfd57748129f77fde3c7a08e5c3 | [
"BSD-3-Clause"
] | 2 | 2020-06-22T20:55:48.000Z | 2021-01-15T18:01:04.000Z | import sys, os, gc, inspect, dis, opcode
from django.htoken import get_token
from django.analysis import persisted #, taintmode
import django.analysis.persisted as persisted
from django.analysis.assertion import *
_caller_cache = dict()
NULL_STATE = 1
BEFORE_VIEW_STATE = 2
IN_VIEW_STATE = 3
ANALYSIS_RUNNING = False... | 37.077071 | 265 | 0.601777 |
9bf6f98ce3066955f5491742cf5f5215544b0cdc | 815 | py | Python | tensorflow/tools/docker/jupyter_notebook_config.py | jylinman/tensorflow | 5248d111c3aeaf9f560cd77bff0f183f38e31e0b | [
"Apache-2.0"
] | 23 | 2016-02-04T21:08:43.000Z | 2022-01-14T13:22:33.000Z | tensorflow/tools/docker/jupyter_notebook_config.py | jylinman/tensorflow | 5248d111c3aeaf9f560cd77bff0f183f38e31e0b | [
"Apache-2.0"
] | 2 | 2016-05-31T16:38:55.000Z | 2018-12-30T20:17:05.000Z | tensorflow/tools/docker/jupyter_notebook_config.py | jylinman/tensorflow | 5248d111c3aeaf9f560cd77bff0f183f38e31e0b | [
"Apache-2.0"
] | 39 | 2016-03-25T05:13:09.000Z | 2020-06-16T01:30:53.000Z | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 40.75 | 80 | 0.690798 |
92765ff94970c0ac85172eb056058d9f0bc34036 | 1,484 | py | Python | var/spack/repos/builtin/packages/activeharmony/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/activeharmony/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/activeharmony/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Activeharmony(MakefilePackage):
"""Active Harmony: a framework for auto-tuning (the automa... | 38.051282 | 146 | 0.694744 |
43951332d3637b548093958124735a45cb0edbc4 | 9,573 | py | Python | src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py | Tobi-Alonso/finn | ea73d873e66414590f196dc71c398ba345301c24 | [
"BSD-3-Clause"
] | null | null | null | src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py | Tobi-Alonso/finn | ea73d873e66414590f196dc71c398ba345301c24 | [
"BSD-3-Clause"
] | null | null | null | src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py | Tobi-Alonso/finn | ea73d873e66414590f196dc71c398ba345301c24 | [
"BSD-3-Clause"
] | 1 | 2020-05-14T13:50:40.000Z | 2020-05-14T13:50:40.000Z | # Copyright (c) 2020, Xilinx
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the follow... | 39.073469 | 88 | 0.583307 |
a1327fbb1a2052550191ec5c2c3ab213e48e187d | 4,248 | py | Python | python/src/nnabla/utils/converter/tensorflow/common.py | isabella232/nnabla | 82a3c6fed382f889d1a4a429c696bb8cedf6ce79 | [
"Apache-2.0"
] | null | null | null | python/src/nnabla/utils/converter/tensorflow/common.py | isabella232/nnabla | 82a3c6fed382f889d1a4a429c696bb8cedf6ce79 | [
"Apache-2.0"
] | null | null | null | python/src/nnabla/utils/converter/tensorflow/common.py | isabella232/nnabla | 82a3c6fed382f889d1a4a429c696bb8cedf6ce79 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020,2021 Sony Corporation.
# Copyright 2021 Sony Group Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 33.714286 | 95 | 0.643832 |
a7b585ffb94e503a601d50fb296e98eb0656575c | 41 | py | Python | src/lib/formatter.py | DTenore/skulpt | 098d20acfb088d6db85535132c324b7ac2f2d212 | [
"MIT"
] | 2,671 | 2015-01-03T08:23:25.000Z | 2022-03-31T06:15:48.000Z | src/lib/formatter.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 972 | 2015-01-05T08:11:00.000Z | 2022-03-29T13:47:15.000Z | src/lib/formatter.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 845 | 2015-01-03T19:53:36.000Z | 2022-03-29T18:34:22.000Z | import _sk_fail; _sk_fail._("formatter")
| 20.5 | 40 | 0.780488 |
c892c14afb903836e7c86e4701e0ff68258c111c | 100 | py | Python | tutorial/snippets/apps.py | usadamasa/drf-example | e72b8a4d78575c3b291ac1650b10ccd66fbbd046 | [
"MIT"
] | null | null | null | tutorial/snippets/apps.py | usadamasa/drf-example | e72b8a4d78575c3b291ac1650b10ccd66fbbd046 | [
"MIT"
] | null | null | null | tutorial/snippets/apps.py | usadamasa/drf-example | e72b8a4d78575c3b291ac1650b10ccd66fbbd046 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class SnippetsConfig(AppConfig):
name = 'tutorial.snippets'
| 16.666667 | 33 | 0.77 |
fdd7b85942f6283a7c89392e3900c34c57cd515d | 366 | py | Python | lecture_01/hw/task02.py | AlekseiAfanasev/epam_python_autumn_2020 | 7e954aca381e258ca8348db1770f391c1e2bce44 | [
"MIT"
] | null | null | null | lecture_01/hw/task02.py | AlekseiAfanasev/epam_python_autumn_2020 | 7e954aca381e258ca8348db1770f391c1e2bce44 | [
"MIT"
] | null | null | null | lecture_01/hw/task02.py | AlekseiAfanasev/epam_python_autumn_2020 | 7e954aca381e258ca8348db1770f391c1e2bce44 | [
"MIT"
] | 1 | 2022-01-02T11:47:29.000Z | 2022-01-02T11:47:29.000Z | """
Given a cell with "it's a fib sequence" from slideshow,
please write function "check_fib", which accepts a Sequence of integers, and
returns if the given sequence is a Fibonacci sequence
We guarantee, that the given sequence contain >= 0 integers inside.
"""
from collections import Sequence
def check_fi... | 26.142857 | 80 | 0.73224 |
144b383d806812a6b5766a7091783c957c604d26 | 2,840 | py | Python | parlai/tasks/ms_marco/build.py | ysglh/ParlAI | e0f16e9168839be12f72d3431b9819cf3d51fe10 | [
"BSD-3-Clause"
] | 2 | 2017-10-06T09:56:49.000Z | 2017-10-06T09:57:03.000Z | parlai/tasks/ms_marco/build.py | ysglh/ParlAI | e0f16e9168839be12f72d3431b9819cf3d51fe10 | [
"BSD-3-Clause"
] | 1 | 2018-03-08T20:44:39.000Z | 2018-03-08T23:49:29.000Z | parlai/tasks/ms_marco/build.py | ysglh/ParlAI | e0f16e9168839be12f72d3431b9819cf3d51fe10 | [
"BSD-3-Clause"
] | 2 | 2017-10-06T09:57:04.000Z | 2018-11-08T13:45:47.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the da... | 35.5 | 99 | 0.615493 |
00cfc6b0427acfcfda03652ce139acc35c381fdd | 43 | py | Python | tasks/R2R-judy/src/__init__.py | IMNearth/Curriculum-Learning-For-VLN | d2fe1286eb295dc8c63a0c886b35883f32481d85 | [
"MIT"
] | 8 | 2021-11-09T13:29:19.000Z | 2022-03-30T04:01:42.000Z | tasks/R2R-judy/src/__init__.py | IMNearth/Curriculum-Learning-For-VLN | d2fe1286eb295dc8c63a0c886b35883f32481d85 | [
"MIT"
] | 1 | 2022-03-17T14:16:44.000Z | 2022-03-29T03:16:32.000Z | tasks/R2R-judy/src/__init__.py | IMNearth/Curriculum-Learning-For-VLN | d2fe1286eb295dc8c63a0c886b35883f32481d85 | [
"MIT"
] | null | null | null | from . import utils, agent, engine, environ | 43 | 43 | 0.767442 |
8b529fa33b6514d8cb550373e889bada5d128511 | 2,717 | py | Python | venv/Lib/site-packages/nipype/interfaces/slicer/quantification/changequantification.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | 585 | 2015-01-12T16:06:47.000Z | 2022-03-26T14:51:08.000Z | nipype/interfaces/slicer/quantification/changequantification.py | tamires-consulting/nipype | b7879d75a63b6500b2e7d2c3eba5aa7670339274 | [
"Apache-2.0"
] | 2,329 | 2015-01-01T09:56:41.000Z | 2022-03-30T14:24:49.000Z | nipype/interfaces/slicer/quantification/changequantification.py | tamires-consulting/nipype | b7879d75a63b6500b2e7d2c3eba5aa7670339274 | [
"Apache-2.0"
] | 487 | 2015-01-20T01:04:52.000Z | 2022-03-21T21:22:47.000Z | # -*- coding: utf-8 -*-
# -*- coding: utf8 -*-
"""Autogenerated file - DO NOT EDIT
If you spot a bug, please report it on the mailing list and/or change the generator."""
from nipype.interfaces.base import (
CommandLine,
CommandLineInputSpec,
SEMLikeCommandLine,
TraitedSpec,
File,
Directory,
... | 27.444444 | 130 | 0.662127 |
f2cdd9fcb1fdb7f4741692a7075a420e03a53fb0 | 3,108 | py | Python | stock-filters/colan_draw_box_lines.py | bi3mer/GDMC | 6c619cbf907d8de17f9bd7b1390849201e977581 | [
"ISC"
] | null | null | null | stock-filters/colan_draw_box_lines.py | bi3mer/GDMC | 6c619cbf907d8de17f9bd7b1390849201e977581 | [
"ISC"
] | null | null | null | stock-filters/colan_draw_box_lines.py | bi3mer/GDMC | 6c619cbf907d8de17f9bd7b1390849201e977581 | [
"ISC"
] | null | null | null | from pymclevel import alphaMaterials, MCSchematic, MCLevel, BoundingBox
from pymclevel.box import Vector
from mcplatform import *
from pprint import pprint
inputs = (
("Replace All", "label"),
("Material", alphaMaterials.CoalBlock),
("Creator: Colan Biemer", "label")
)
def vector_equals(v1, v2):
return v1.x == v2... | 36.564706 | 98 | 0.665701 |
1663182b6a43b44b1d46291357c2c476fdfb9001 | 477 | py | Python | languages/python/design_restricter_class.py | Andilyn/learntosolveit | fd15345c74ef543e4e26f4691bf91cb6dac568a4 | [
"BSD-3-Clause"
] | 1 | 2021-04-09T04:15:24.000Z | 2021-04-09T04:15:24.000Z | languages/python/design_restricter_class.py | Andilyn/learntosolveit | fd15345c74ef543e4e26f4691bf91cb6dac568a4 | [
"BSD-3-Clause"
] | null | null | null | languages/python/design_restricter_class.py | Andilyn/learntosolveit | fd15345c74ef543e4e26f4691bf91cb6dac568a4 | [
"BSD-3-Clause"
] | 1 | 2021-07-31T02:45:29.000Z | 2021-07-31T02:45:29.000Z | class RestrictingWrapper(object):
def __init__(self, obj, to_block):
self._obj = obj
self._to_block = to_block
def __getattr__(self, name):
if name in self._to_block:
raise AttributeError(name)
return getattr(self._obj, name)
class Foo(object):
def __init__(self... | 22.714286 | 40 | 0.612159 |
60d6182d32a4373baae72b9b41a85dfde4a5e081 | 948 | py | Python | xwavecal/utils/basic_utils.py | gmbrandt/echelle | 7e6678cd541ccf025fc187eca7f1344efe85f265 | [
"MIT"
] | null | null | null | xwavecal/utils/basic_utils.py | gmbrandt/echelle | 7e6678cd541ccf025fc187eca7f1344efe85f265 | [
"MIT"
] | null | null | null | xwavecal/utils/basic_utils.py | gmbrandt/echelle | 7e6678cd541ccf025fc187eca7f1344efe85f265 | [
"MIT"
] | null | null | null | import numpy as np
def median_subtract_channels_y(data, num_channels):
"""
:param data: array_like
Input array. Must be 2D
:param num_channels: The number of readout channels along axis=0 (rows).
:return: ndarray
Input array with each horizontal slice of size data.shape[0... | 32.689655 | 89 | 0.562236 |
e82e997d0e8d9f45fc3b878ca9c2a19e558a16ed | 5,157 | py | Python | openGaussBase/testcase/SQL/DML/copy/Opengauss_Function_DML_Copy_Case0047.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DML/copy/Opengauss_Function_DML_Copy_Case0047.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DML/copy/Opengauss_Function_DML_Copy_Case0047.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 38.485075 | 84 | 0.632538 |
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